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Healthcare data and compliance

The dashboard is not the hard part. The data is.

EHR, clearinghouse, and billing never talk to each other. The monthly KPI pack is twenty-five spreadsheets and a binder. Leadership cannot trust the number, and nobody wants PHI on that screen.

We build HIPAA-conscious data lakes, systems integration, and process automation so the report is real-time, defensible, and private by architecture — not by hoping people remember the policy.

What this looks like in production

25–30

hand-maintained spreadsheets retired on a multi-facility treatment engagement

3

source systems reconciled: clinical EHR, insurance clearinghouse, accounting

2

outputs from one pipeline: identified billing workspace, de-identified leadership view

0

PHI on the leadership dashboard. Privacy is structural, not a training reminder.

Figures from a multi-facility outpatient substance abuse treatment provider engagement, delivered in partnership with another firm. Client and partner unnamed pending approval.

If this is your week

xClinical, claims, and financial data live in disconnected systems
xThe monthly report is assembled by hand, then printed for a binder
xStaff retype payment and denial figures out of payer remittance PDFs
xLeadership cannot see census, productivity, or reimbursement in time to act
xEvery useful dashboard idea dies in a privacy review — or ships with PHI it should not have

What we actually ship

+A data lake that reconciles EHR, clearinghouse, and accounting automatically
+OCR that reads remittance PDFs into the pipeline — no copy-paste
+Two outputs: identified work for billing, de-identified totals for leadership
+A live dashboard for outcomes, census, claims, and provider productivity
+Strong Start as the bounded first month, then month-to-month delivery

Privacy by architecture

If PHI can reach the screen, the design is wrong.

Healthcare reporting projects usually fail in one of two directions. Either the privacy requirement stalls everything, or someone ships a useful dashboard by quietly routing identified data somewhere it should not be. Neither is acceptable. We start from the report leadership needs, then wire the lake, the integrations, and the privacy boundary so the useful view cannot leak patient identifiers.

Sources

EHR, clearinghouse, accounting, remittance PDFs

Lake

Reconcile service to claim outcome. OCR the PDFs.

Split

Identified for billing. Facility/month totals for leadership.

What we do in healthcare and compliance

HIPAA-conscious data lakes

Unify messy clinical, claims, and financial sources. Match each service to its eventual claim outcome. Vendor-agnostic lake and lakehouse work on the stack you already run.

Systems integration

EHR, clearinghouse, accounting, and the document pile in between. APIs, ETL, and reconciliation logic so people stop acting as the interface between systems.

Process optimization

Two-pass spreadsheet workflows, PDF retyping, binder reporting. We replace the manual close with a pipeline, then give the billing team an identified workspace they can actually work in.

Compliance that can survive a review

HIPAA program support, BAA-aligned operations, and control design for SOC, NIST, and related paths. We are a services firm — we build the system and the evidence trail, we do not sell a compliance badge.

Proof we ship

HIPAA-Safe Reporting for a Multi-Facility Treatment Provider

A data lake reconciling EHR, clearinghouse, and accounting data with OCR of payer remittance PDFs — feeding a leadership dashboard that never exposes PHI.

Read Case Study

Building the Operating System for Scaled Growth

OKRs, silo breakdown, agile cadence, and a biweekly executive dashboard unifying 16+ systems for a $25M+ functional beverages brand.

Read Case Study

CTO and Full Delivery Team for a Stealth Music Startup

Embedded as fractional CTO and the full delivery team — taking a stealth music-industry company from concept to MVP to production with a lakehouse, grounded RAG, and an agent hierarchy.

Read Case Study

The treatment-provider engagement is the healthcare proof. The other two are separate clients — different industries, different facts. Same pattern: fix the source of truth, then the screen.

Who this is for

Multi-facility operators, specialty networks, and established healthcare organizations with fragmented regulated data and a mandate to modernize reporting, revenue cycle, or operations. If you already know the dashboard request is covering a pipeline problem, you are in the right place.

Who should not fill out the form

A single small practice looking for a cheap charting tool, a vendor hunting for a reseller, or a curiosity-only pilot with no production path. This is a build. Strong Start is the bounded first month so you are not buying a year of discovery.

Stop assembling the truth once a month

Twenty minutes. We show up with research. If there is a fit, you get a tailored proposal at no cost.

Most healthcare work starts with Strong Start, then a data foundation you can see, touch, and audit.

Katie Fisher
Katie Fisher
Virgent AI Agent · Multi Model · AG UI

VIRGENT AI · Multi Model · AG UI